Measuring Disaster Recovery: Lessons Learned from Early Recovery in Post-Tsunami Area of Aceh, Indonesia

Author:

Suriastini Ni Wayan1ORCID,Wijayanti Ika Yulia1,Sikoki Bondan1,Sumantri Cecep Sukria1

Affiliation:

1. SurveyMETER Research Institute, Jl. Jenengan Raya No. 109, Maguwoharjo, Depok, Sleman, Yogyakarta 55282, Indonesia

Abstract

The assessment of post-disaster recovery is often hindered by limited metric and longitudinal data, in addition to the dynamic and long-term processes. Therefore, this study aimed to investigate the early stages after the 2004 Indian Ocean tsunami in Aceh, Indonesia, using the Disaster Recovery Index (DRI). The two initial waves of Study of Tsunami and Aftermath Recovery (STAR) data were used to track the recovery process from 5 to 19 months after the tsunami. The results showed various recovery patterns in three affected areas and five sectors. Furthermore, recovery rates in the medium and heavily damaged areas increased by 2.05 and 7.45 percentage points, respectively, with a 0.33 percentage point decrease in the lightly damaged areas. The social and livelihood sectors showed rapid progress, supported by the establishment of temporary health and education facilities, including Cash-for-Work programs. Meanwhile, other sectors experienced slower recovery due to their complexity. The application of the DRI successfully showed the relative positions across affected areas and sectors over time in a simple way. This confirmed the variety of recoveries in subgroups in the community and suggested the importance of regularly measuring progress using standard metrics to observe long-term conditions.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference37 articles.

1. Urban Disaster Recovery: A Measurement Framework and Its Application to the 1995 Kobe Earthquake;Chang;Disasters,2010

2. Indicators of Community Recovery: Content Analysis and Delphi Approach;Jordan;Nat. Hazards Rev.,2013

3. Lallemant, D. (2022, November 29). Building Post-Disaster Resilience: A Diagram. Available online: http://resilienturbanism.org/dlallemant/building-post-disaster-resilience-a-diagram/.

4. Post-Tsunami Recovery in Tamil Nadu, India: Combined Social and Infrastructural Outcomes;Jordan;Nat. Hazards,2016

5. Post-Disaster Recovery Is a Marathon, Not a Sprint: The Need for a State-Sponsored Recovery Scheme;Gearing;Pac. J. Rev.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3